4,000+ servers built on MCP Fusion
Vinkius
LlamaIndexFramework
LlamaIndex
Why use LangGraph Cloud (Stateful AI Agents) MCP Server with LlamaIndex?

Bring Ai Agents
to LlamaIndex

Create your Vinkius account to connect LangGraph Cloud (Stateful AI Agents) to LlamaIndex and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Cancel RunCreate RunCreate ThreadGet RunGet Thread StateList AssistantsList CronsList RunsList ThreadsUpdate Thread State
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
LangGraph Cloud (Stateful AI Agents)

What is the LangGraph Cloud (Stateful AI Agents) MCP Server?

Connect your LangGraph Cloud account to any AI agent and take full control of your stateful multi-turn agents and complex graph-based AI workflows through natural conversation.

What you can do

  • Assistant Orchestration — List deployed assistants representing compiled LangGraph applications ready to process stateful workloads directly from your agent
  • Thread Management — Create and monitor conversation threads to maintain long-term memory buffers explicitly managed by cloud checkpoints
  • State Inspection & Override — Retrieve the exact execution state of a thread and perform manual node overrides for human-in-the-loop approvals or mid-execution adjustments
  • Run Control — Trigger fresh graph executions with specific input payloads and monitor or cancel asynchronous runs to manage system resources
  • Cron Automation Audit — List scheduled background jobs configured to autonomously trigger LangGraph execution runs periodically
  • History Tracking — Extract historical run steps indicating explicit graph invocations and internal reasoning paths within a stateful thread

How it works

  1. Subscribe to this server
  2. Enter your LangGraph API URL and API Key
  3. Start managing your agentic infrastructure from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • AI Agentic Developers — debug stateful multi-turn agents and verify graph traversal paths through natural conversation
  • AI Platform Engineers — monitor deployed assistants and manage cloud-based checkpoints across multiple team environments
  • Ops Teams — audit scheduled crons and manage execution runs to ensure reliable delivery of automated AI workflows

Built-in capabilities (10)

cancel_run

Interrupt and cancel an ongoing graph execution run

create_run

Execute an assistant run on a specific thread with an input payload

create_thread

Create a new LangGraph thread to hold conversational state

get_run

Get complete details and status of a specific language graph run

get_thread_state

g., current messages array or structured outputs) generated by the LangGraph application. Retrieve the exact state graph and variables for a specific thread

list_assistants

List LangGraph deployed assistants (graph configurations)

list_crons

List active scheduled cron jobs automating agent runs

list_runs

List execution runs assigned to a specific thread

list_threads

List active LangGraph conversation threads

update_thread_state

Manually override or update a thread state graph

Why LlamaIndex?

LlamaIndex agents combine LangGraph Cloud (Stateful AI Agents) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

  • Data-first architecture: LlamaIndex agents combine LangGraph Cloud (Stateful AI Agents) tool responses with indexed documents for comprehensive, grounded answers

  • Query pipeline framework lets you chain LangGraph Cloud (Stateful AI Agents) tool calls with transformations, filters, and re-rankers in a typed pipeline

  • Multi-source reasoning: agents can query LangGraph Cloud (Stateful AI Agents), a vector store, and a SQL database in a single turn and synthesize results

  • Observability integrations show exactly what LangGraph Cloud (Stateful AI Agents) tools were called, what data was returned, and how it influenced the final answer

L
See it in action

LangGraph Cloud (Stateful AI Agents) in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run LangGraph Cloud (Stateful AI Agents) with Vinkius?

The LangGraph Cloud (Stateful AI Agents) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

LangGraph Cloud (Stateful AI Agents)
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect LangGraph Cloud (Stateful AI Agents) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

LangGraph Cloud (Stateful AI Agents) and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect LangGraph Cloud (Stateful AI Agents) to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures LangGraph Cloud (Stateful AI Agents) for LlamaIndex

Every request between LlamaIndex and LangGraph Cloud (Stateful AI Agents) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I manually approve an agent's step using this server?

Yes. Use the update_thread_state tool to perform manual node state overrides. This is the standard way to implement human-in-the-loop (HITL) patterns, allowing you to modify or approve graph variables directly mid-execution.

02

How do I see the current memory of a conversation thread?

The get_thread_state tool retrieves the exact execution state of a thread, including all cyclical node variables and structured outputs stored in the cloud checkpoints. This gives your agent full visibility into the conversation history.

03

Can my agent trigger a new run on an existing thread?

Absolutely. Use the create_run tool and provide the Thread ID, Assistant ID, and your new input payload. Your agent will fire the graph dynamically, allowing for multi-turn engagements within the same stateful boundary.

04

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query LangGraph Cloud (Stateful AI Agents) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Explore More MCP Servers

View all →